Compositional Neural Operators for Multi-Dimensional Fluid Dynamics
arXiv:2605.11691v1 Announce Type: new
Abstract: Partial differential equations (PDEs) govern diverse physical phenomena, yet high-fidelity numerical solutions are computationally expensive and Machine Learning approaches lack generalization. While Sci…